Feature spotlights

Single workspace for your tools

A single workplace where you can work with a growing set of data science tools such as RStudio, Jupyter, Python, Scala, and more. Use open source along with IBM innovation to produce amazing results.

Shareable, collaborative projects

Organize your team members, notebooks, scripts, and data sets into shareable projects, making collaboration easier and more transparent.

Searchable, growing community

Use forking and comments to share advice, provide guidance, and suggest alternative methods of analysis. Use the wisdom of your team and the community to be more productive get better results.

Supporting content, where you need it

While you code, use the embedded maker palette to access data sets, tutorials, and documentation to get to what you need exactly when you need it.

Jupyter Notebooks

Jupyter notebooks are a web-based environment for interactive computing. You can run small pieces of code that process your data, and you can immediately view the results of your computation. Notebooks include all of the building blocks you need to work with data: data, code computations, visualizations, text, rich media to enhance understanding

RStudio

R is a popular statistical analysis and machine-learning package that enables data management and includes tests, models, analyses, and graphics, and enables data management. RStudio, included in IBM Data Science Experience, provides an IDE for working with R.

Projects

Projects allow users to orient a team of collaborators around a set of notebooks, data sets, articles, and analysis work streams. This makes it easier for organizations to re-use assets, and for teams to establish and enforce shared best practices while collaborating with each other and learning from the community.